Introduction to Tools and Techniques used for optimization of cutting parameters on average surface roughness and material removal rate during turning of Metal Matrix Composite

Abstract

This research work investigate the effect of cutting parameters on average surface roughness and material removal rate during turning of Metal Matrix Composite using response surface methodology. In this research work an effort has been made to obtain the optimal values of cutting parameters in order to minimize the average surface roughness and maximize metal removal rate in turning of Metal matrix composite steel on CNC Lathe. The experimental studies are carried out under changing machining parameters like feed rate, depth of cut and cutting speed during turning of metal matrix composite. Response surface methodology based on the Face cantered design technique has been used for the development of mathematical models to predict average surface roughness and metal removal rate. The conclusions of this work are: 1. Feed seems to be the most important and influential machining parameter that affect the average surface roughness followed by depth of cut and the cutting speed for metal removal rate. 2. The depth of cut has significant for both the average surface roughness and metal removal rate for the MMC steel. 3. The mathematical models developed clearly show that surface roughness increases with increasing the feed but decreases with increasing the cutting speed.